recipe bioconductor-hicbricks

Framework for Storing and Accessing Hi-C Data Through HDF Files

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/HiCBricks.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-hicbricks/meta.yaml

HiCBricks is a library designed for handling large high-resolution Hi-C datasets. Over the years, the Hi-C field has experienced a rapid increase in the size and complexity of datasets. HiCBricks is meant to overcome the challenges related to the analysis of such large datasets within the R environment. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates example algorithms for calling domain boundaries and functions for high quality data visualization.

package bioconductor-hicbricks

Versions:

1.11.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.0-0

Depends:

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-genomeinfodb >=1.30.0,<1.31.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-rhdf5 >=2.38.0,<2.39.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• r-base >=4.1,<4.2.0a0

• r-curl

• r-data.table

• r-digest

• r-ggplot2

• r-jsonlite

• r-r.utils

• r-r6

• r-rcolorbrewer

• r-readr

• r-reshape2

• r-scales

• r-stringr

• r-tibble

• r-viridis

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-hicbricks

and update with:

conda update bioconductor-hicbricks

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-hicbricks:<tag>

(see bioconductor-hicbricks/tags for valid values for <tag>)

Download stats

Link to this page

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